101 to 125 of 2,630 Python Jobs in London

DevOps-aligned roles, or technical front-office support within financial services Strong practical experience working with Linux systems Solid scripting/automation ability using Python, with Bash or PowerShell also beneficial Clear, structured communication skills - able to support demanding users and work collaboratively with engineers Familiarity with AWS or other ...

DevOps-aligned roles, or technical front-office support within financial services Strong practical experience working with Linux systems Solid scripting/automation ability using Python, with Bash or PowerShell also beneficial Clear, structured communication skills - able to support demanding users and work collaboratively with engineers Familiarity with AWS or other ...

identify opportunities where data science can add value, communicating findings to both technical and non-technical stakeholders. Requirements Programming Skills: Strong programming ability in Python is essential, including proficiency with data science libraries such as pandas, NumPy, scikit-learn, and visualisation tools. Experience building production-quality code and deploying models ...

identify opportunities where data science can add value, communicating findings to both technical and non-technical stakeholders. Requirements Programming Skills: Strong programming ability in Python is essential, including proficiency with data science libraries such as pandas, NumPy, scikit-learn, and visualisation tools. Experience building production-quality code and deploying models ...

Observability: Practical use of New Relic and Grafana to define metrics/traces/logs, tune alerts, and drive SLOs. Scripting & automation: Proficiency in Python and Bash; experience with boto3 or equivalent SDKs. Incident management: Exposure to production incidents, on‐call participation, and post‐incident review practices. Clear communication, stakeholder ...

Observability: Practical use of New Relic and Grafana to define metrics/traces/logs, tune alerts, and drive SLOs. Scripting & automation: Proficiency in Python and Bash; experience with boto3 or equivalent SDKs. Incident management: Exposure to production incidents, on‐call participation, and post‐incident review practices. Clear communication, stakeholder ...

solution presentations to client stakeholders; conduct demos and workshops. Experience leading team of AI/software engineers Experience driving productivity and cost optimisations Skills: Python with AI/ML frameworks (PyTorch, TensorFlow). Prompt Engineering, Langchain, Langsmith/Langfuse, Gen AI/Agentic AI, Cloud platforms (Azure AI Foundry ...

solution presentations to client stakeholders; conduct demos and workshops. Experience leading team of AI/software engineers Experience driving productivity and cost optimisations Skills: Python with AI/ML frameworks (PyTorch, TensorFlow). Prompt Engineering, Langchain, Langsmith/Langfuse, Gen AI/Agentic AI, Cloud platforms (Azure AI Foundry ...

project delivery timelines. Stay current with emerging technologies, especially in AI, data processing, and scalable web architectures. Tech Stack Frontend: JavaScript, React Backend: Node.js, Python Infrastructure: AWS/GCP (experience with modern cloud environments is a plus) AI/ML: Exposure to applied AI, data models, or large language models ...

project delivery timelines. Stay current with emerging technologies, especially in AI, data processing, and scalable web architectures. Tech Stack Frontend: JavaScript, React Backend: Node.js, Python Infrastructure: AWS/GCP (experience with modern cloud environments is a plus) AI/ML: Exposure to applied AI, data models, or large language models ...

Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with ...

Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with ...

scalable solutions . Automate deployments and implement DevOps best practices , including CI/CD pipelines. Tech Stack & Skills Azure Databricks ( 3+ years hands-on) Python and Spark (PySpark) or Scala SQL/NoSQL databases Azure Data Factory, Blob Storage, Azure SQL Database Data pipeline optimisation & architecture design Streaming data: Kafka ...

Flink, DBT etc.) , data storage (e.g. Snowflake, Redshift, etc.) and also IaC ( e.g. Terraform, CloudFormation ) Software development experience with one or more languages (e.g. Python, Java, Scala, Go ) Pragmatic approach to solving problems Nice to have: keen interest in modern AI/ML techniques Why Mesh-AI Fast-growing start ...

with maintaining code quality. Strong communication skills and ability to collaborate across teams. Computer Science/Mathematics degrees from good universities Nice to haves; Python experience. GCP experience. Experience with AI/ML-powered applications. Exposure to real-time data processing. Knowledge of CI/CD pipelines and automated testing. ...

with maintaining code quality. Strong communication skills and ability to collaborate across teams. Computer Science/Mathematics degrees from good universities Nice to haves; Python experience. GCP experience. Experience with AI/ML-powered applications. Exposure to real-time data processing. Knowledge of CI/CD pipelines and automated testing. ...

architecture, networking, load balancing, and distributed systems. Proven experience supporting production SaaS environments. Strong understanding of monitoring and observability tooling. Excellent scripting skills in Python, Bash, or similar. Excellent communication and collaboration skills. Nice to Have but not essential: Experience with event-driven architectures and NextJS/NodeJS build environments. ...

production outcomes to stakeholders. Mentor junior colleagues and share learnings across the team. Requirements: Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow. Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments. Strong experiment design skills ...

with data lakes, warehouses, and real-time data systems. Practical experience with cloud services such as storage, compute, orchestration, and serverless tools. Proficiency in Python and SQL. Ability to work collaboratively in an agile environment. Desirable Skills Cloud certifications (ideally AWS but still interested if GCP/Azure). Experience ...

with data lakes, warehouses, and real-time data systems. Practical experience with cloud services such as storage, compute, orchestration, and serverless tools. Proficiency in Python and SQL. Ability to work collaboratively in an agile environment. Desirable Skills Cloud certifications (ideally AWS but still interested if GCP/Azure). Experience ...

internal stakeholders, driving technical delivery, and contributing ideas that shape our product roadmap. You'll be great for this role if you: · Have strong Python and machine learning engineering skills, with experience applying AI to real-world problems. · Can (or want to learn to) build agentic AI systems that automate ...

internal stakeholders, driving technical delivery, and contributing ideas that shape our product roadmap. Youll be great for this role if you: Have strong Python and machine learning engineering skills, with experience applying AI to real-world problems. Can (or want to learn to) build agentic AI systems that automate human ...

Observability: Practical use of New Relic and Grafana to define metrics/traces/logs, tune alerts, and drive SLOs. Scripting & automation: Proficiency in Python and Bash; experience with boto3 or equivalent SDKs. Incident management: Exposure to production incidents, on‐call participation, and post‐incident review practices. Clear communication, stakeholder ...

Observability: Practical use of New Relic and Grafana to define metrics/traces/logs, tune alerts, and drive SLOs. Scripting & automation: Proficiency in Python and Bash; experience with boto3 or equivalent SDKs. Incident management: Exposure to production incidents, on‐call participation, and post‐incident review practices. Clear communication, stakeholder ...

engineering, with the ability to translate experimental success into reliable, scalable systems. Essential experience includes: Commercial experience developing and deploying machine learning models in Python Proficiency with ML frameworks such as scikit-learn, XGBoost, PyTorch or TensorFlow Strong experience delivering ML solutions using AWS services (e.g. SageMaker, Lambda, S3) Expertise ...